ROHIT PENKI | Microwave Engineering | Best Researcher Award

Mr. ROHIT PENKI | Microwave Engineering | Best Researcher Award

Mr at CHAITANYA ENGINEERING COLLEGE, VISHAKAPATNAM, India

Penki Rohit is an Assistant Professor in Electronics and Communication Engineering with extensive experience in teaching and research. He holds a Ph.D. (pre-PhD completed) from KIIT University, an M.Tech in VLSI from JNTUK, and a B.Tech in ECE from JNTUK. He has worked at St. Theressa Avanthi College of Engineering and is currently at Chaitanya Engineering College, Vishakhapatnam. His areas of expertise include RF & Antenna Engineering, Radar Signal Processing, and VLSI Design. Rohit has supervised numerous student research projects and has published several papers in reputed journals, with contributions to antenna design, IoT applications, and machine learning in various engineering contexts.

Profile

Scholar

šŸŽ“ EducationĀ 

Ph.D. (Pre-PhD completed), KIIT University, Bhubaneswar. M.Tech (VLSI), MVGR College of Engineering, JNTUK (81%). B.Tech (ECE), MVGR College of Engineering, JNTUK (60%). Intermediate, Sri Narayana Junior College (73%). SSC, Bhashyam Public School (85%)

šŸ’¼ ExperienceĀ 

Current Position: Assistant Professor, Electronics and Communication Engineering, Chaitanya Engineering College, Vishakhapatnam (Aug 2023ā€“Present). Previous Role: Assistant Professor, St. Theressa Avanthi College of Engineering, Visakhapatnam (Feb 2019ā€“July 2023). Teaching Expertise: RF and Antenna Engineering, Satellite Communication, Radar Systems, VLSI Design. Research Guidance: Directed undergraduate research projects, including the design and development of microwave antennas. Technical Expertise: Proficient in MATLAB, HFSS, Mentor Graphics, Xilinx ISE, and FPGA Boards

šŸ† Awards and Honors

Best Paper Awards for various publications in UGC Care Group I journals. DST Travel Grant in 2012 to attend an international conference at Pittsburgh, USA. Early Career Research Award from SERB in 2017. Research Excellence Award (Rs. 12,000) in 2015 from Graphic Era University. GUCOST Funding (Rs. 40,000) for a workshop on antenna design (2019). DTE Funding (Rs. 1,00,000) for organizing a workshop (2018). IEEE (SCOPUS indexed) Journal Publications

šŸ”¬ Research FocusĀ 

Antenna Design: Development of miniature antennas, CPW-fed antennas, and metasurface antennas for various applications, including IoT and wireless communications. VLSI Design: Exploring power-efficient SRAM cell architectures and optimizing delay and power consumption in VLSI circuits. Microwave Antennas: Researching antenna performance for satellite communication and radar systems. Machine Learning and AI: Investigating the integration of machine learning algorithms in the development of advanced antennas for wireless sensor networks and smart applications. Publications and Patents: Rohit has authored over 20 journal papers and several patents related to IoT, machine learning, and communication systems, including designs for high-gain antennas and systems for real-time monitoring.

Conclusion

Dr. Penki Rohit’s solid academic background, research experience, and contributions to the field of Electronics and Communication Engineering make him a deserving candidate for the Best Researcher Award. His continuous pursuit of knowledge, commitment to academic excellence, and practical research applications place him at the forefront of his discipline, and his future endeavors promise to bring even greater advancements to the field.

Publications šŸ“š

  • Design of High Gain Metasurface Antennas using Hybrid Atomic Orbital Search and Human Mental Search Algorithm for IoT Applications
    • Journal: 2023 10th International Conference on Signal Processing and Integrated Circuits
    • Year: 2023
    • Citations: 5

 

  • Design of Circular Microstrip Antenna with Metasurface Superstate for Wi-Fi Applications
    • Journal: 2024 IEEE Wireless Antenna and Microwave Symposium (WAMS)
    • Year: 2024
    • Citations: 3

 

  • Design of Circularly Polarized E-Slot Aperture Coupled Dielectric Resonator Antenna for Wideband Applications
    • Journal: 2023 International Conference on Microwave, Optical, and Communication Engineering
    • Year: 2023
    • Citations: 2

 

  • Future Trends in Design of Metamaterial Printed Antennas Using 5G Applications
    • Journal: Journal For Basic Sciences
    • Year: 2024

 

  • Construction of Advanced Child Rescue System from Open Borewells Using Robotic Claws & Raspberry Pi Module
    • Journal: International Journal for Research Trends and Innovation
    • Year: 2023

 

  • Design of UWB Fractal Monopole Antenna Using Differential Evolution Algorithm
    • Journal: KRONIKA Journal
    • Year: 2024

 

  • Improved Bank Safety Alert System Integrated with GSM Technology
    • Journal: International Journal of All Research Education and Scientific Methods
    • Year: 2024

 

  • Design of Rectangular Metasurface Antenna for Wireless Communication Devices
    • Journal: Journal of Systems Engineering and Electronics
    • Year: 2024

 

  • Design of Quasi Modified Rectangular Patch Antenna Using Ultra Wideband (UWB) Frequency for Radar Communications
    • Journal: Journal of Systems Engineering and Electronics
    • Year: 2024

Zhaoyi Zhang | Intelligent navigation of ships | Best Researcher Award

Ā Dr. Zhaoyi Zhang | Intelligent navigation of ships| Best Researcher Award

Dr at Zhaoyi Zhang Dalian Maritime University, China.

Zhaoyi Zhang, Ph.D., is a dedicated researcher in Traffic Information Engineering and Control, currently affiliated with the Navigation College of Dalian Maritime University in China. His doctoral work focused on enhancing ship navigation positioning methods using INS/GNSS technology, supervised by Prof. Ying Li. Dr. Zhang’s expertise extends to collision risk identification and navigation strategy in open waters. As a visiting scholar at the University of Houston, Texas, he collaborated with Prof. Weihang Zhu. His research contributions are evident in numerous publications in prestigious journals like Ocean Engineering and Reliability Engineering & System Safety. Additionally, Dr. Zhang holds several invention patents related to maritime safety and transportation.

Profile

 

 

šŸ“šEducationĀ 

  • Ph.D. in Traffic Information Engineering and Control
    • Dalian Maritime University, Dalian, China
    • Sep 2020 ā€“ Jun 2024
    • Dissertation: Research on INS/GNSS-based Ship Navigation Positioning Enhancement Method
    • Advisor: Prof. Ying Li
  • Visiting Scholar, Department of Engineering Technology, College of Technology
    • University of Houston, Texas, USA
    • Jul 2022 ā€“ Jul 2023
    • Advisor: Prof. Weihang Zhu
  • M.S. in Traffic Information Engineering and Control
    • Dalian Maritime University, Dalian, China
    • Sep 2017 ā€“ Jun 2020
    • Thesis: Research on Collision Risk Identification and Navigation Strategy of Ships in Open Water
    • Advisor: Prof. Ying Li
  • B.S. in Nautical Science
    • Dalian Maritime University, Dalian, China
    • Sep 2013 ā€“ Jun 2017
    • Thesis: Demand Analysis for Education and Training on the M/V YUPENG under the E-Navigation Strategy
    • Advisor: Prof. Junzhong Bao

 

šŸ“ŠInvention Patents

Li, Y., Dong, S., Zhang, Z.Y., Liu, D.G. (2023). A Rapid Query System for Mid-Term Outlook Early Warning Information on Typhoon Generation, CN112528095B. Li, Y., Guo, Z.H., Zhang, Z.Y. (2024). A Container Array Carrier Platform Suitable for Sea-Air Intermodal Transport, CN115303646B.

Publications Top Notes šŸ“

  1. A new evacuation accessibility analysis approach based on spatial information
    • Authors: Z Liu, Y Li, Z Zhang, W Yu
    • Journal: Reliability Engineering & System Safety
    • Year: 2022
    • Volume: 222
    • Pages: 108395
    • Citations: 20
  2. Spatial topological analysis model of ship encounter space
    • Authors: Z Liu, Y Li, Z Zhang, W Yu
    • Journal: Ocean Engineering
    • Year: 2020
    • Volume: 202
    • Pages: 107171
    • Citations: 20
  3. Gaseous emissions from a seagoing ship under different operating conditions in the coastal region of China
    • Authors: C Bai, Y Li, B Liu, Z Zhang, P Wu
    • Journal: Atmosphere
    • Year: 2020
    • Volume: 11
    • Issue: 3
    • Pages: 305
    • Citations: 16
  4. An INS-aided MASS autonomous navigation algorithm considering virtual motion constraints and the leeway and drift angle
    • Authors: Z Zhang, Y Li, P Wu, Z Liu, J Xiao, W Zhu
    • Journal: Ocean Engineering
    • Year: 2023
    • Volume: 272
    • Pages: 113790
    • Citations: 8
  5. Spatial logical relationship analysis model of ship encounter space
    • Authors: Z Liu, Y Li, S Dong, Z Zhang
    • Journal: Ocean Engineering
    • Year: 2021
    • Volume: 239
    • Pages: 109912
    • Citations: 6
  6. Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF
    • Authors: Z Zhang, Y Li, Z Liu, S Wang, H Xing, W Zhu
    • Journal: Ocean Engineering
    • Year: 2023
    • Volume: 288
    • Pages: 115934
    • Citations: 4
  7. INS/GPS integrated navigation for unmanned ships based on EEMD noise reduction and SSA-ELM
    • Authors: J Xiao, Y Li, C Zhang, Z Zhang
    • Journal: Journal of Marine Science and Engineering
    • Year: 2022
    • Volume: 10
    • Issue: 11
    • Pages: 1733
    • Citations: 4
  8. Big data driven vessel trajectory prediction based on sparse multi-graph convolutional hybrid network with spatio-temporal awareness
    • Authors: S Wang, Y Li, Z Zhang, H Xing
    • Journal: Ocean Engineering
    • Year: 2023
    • Volume: 287
    • Pages: 115695
    • Citations: 3
  9. Vessel trajectory prediction based on spatio-temporal graph convolutional network for complex and crowded sea areas
    • Authors: S Wang, Y Li, H Xing, Z Zhang
    • Journal: Ocean Engineering
    • Year: 2024
    • Volume: 298
    • Pages: 117232
    • Citations: 2
  10. Spatial modeling and analysis based on spatial information of the ship encounters for intelligent navigation safety
    • Authors: Z Liu, Y Li, Z Zhang, W Yu, Y Du
    • Journal: Reliability Engineering & System Safety
    • Year: 2023
    • Volume: 238
    • Pages: 109489
    • Citations: 2

 

Mohammad Mohammadpour | Motion planning | Best Researcher Award

Dr. Mohammad Mohammadpour | Motion planning| Best Researcher Award

Ā Dr. University of Quebec at Trois-RiviĆØres, Canada

šŸ‘©ā€šŸ”¬ Ph.D. in Mechanical Engineering with over eight years of specialized experience in R&D, contributing to cutting-edge projects at two renowned institutions.

 

Profile

Scopus

 

Education šŸŽ“

Ph.D. in Mechanical Engineering (Robotics), University of Quebec at Trois RiviĆØres, QC, Trois RiviĆØres, Canada; May 2019-Feb 2024Masterā€™s degree in Aerospace Engineering (Flight Dynamic & Control), Amirkabir University of Technology, Tehran, Iran; 2014Bachelor’s degree in Mechanical Engineering, Tehran, Iran; 2011

Skills šŸ› ļø

Programming Language: Python, C++Software: ROS, Gazebo, Rviz, MATLAB & Simulink Research: Navigation and Sensor Data Fusion Motion Planning (Guidance)Movement Sciences (Kinetic & Kinematic)Dynamic Modelling and Control Machine Learning and Deep Learning Obstacle Avoidance Applications: Autonomous Mobile Robots (simulation and experiment)Learning Frameworks: Scikit-learn, Keras, TensorFlow

Experience šŸš€ Robotics Engineer

Hydrogen Research Institute, University of Quebec at Trois RiviĆØres, Trois RiviĆØres, QC, Canada; 2019-2024Dynamic modeling, simulating, and analyzing robotsā€™ motion Implementing motion planning (guidance) algorithms on an Autonomous Mobile Robot and an Autonomous Forklift (simulation and experiment)Developing motion planning (guidance) algorithms using deep neural networks and the robotsā€™ kinetic models (simulation and experiment)Designing and implementing motion controllers (simulation and experiment). Research And Development Engineer Research Center of Amirkabir University of Technology, Tehran, Iran; 2015-2019Contributed to the Attitude Determination And Control System Executed MIL, SIL, PIL, and HIL simulation and testing Conducted operation and calibration tests of sensors Participated in dynamic modelling

Publications Top Notes šŸ“

i. Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model, Authors: M. Mohammadpour et al., 2023

 

ii. Energy-efficient Local Path Planning of a Self-Guided Vehicle by Considering the Load Position, Authors: Not provided, 2022

 

iii. An Investigation into the Energy-Efficient Motion of Autonomous Wheeled Mobile Robots, Authors: M. Mohammadpour et al., 2021